Fast Doubling Algorithm for the Solution of the Riccati Equation Using Cyclic Reduction Method

Assimakis, Nicholas; Αδάμ, Μαρία

doi:10.1109/macise49704.2020.00007

Cited by 4 publications

(1 citation statement)

References 13 publications

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“…For example, artificial bee colony planning symbolic regression sr-abc is used to predict China's passenger car ownership [1][2], electric vehicle ownership prediction method based on multiple linear regression [3][4][5] and proportional substitution method, and methods such as government planning target calculation method [6], thousand people ownership method and electric vehicle industry research are proposed to carry out electric vehicle ownership prediction. According to a class of Riccati equation, an accurate discrete BASS model is constructed, and the research shows that the model and its solution converge to the original continuous model [7]. A search algorithm based on nonlinear least square rule is given to estimate the model parameters, and the fitting effect is good [8].…”

Section: Introductionmentioning

confidence: 99%

Research on electric vehicle ownership prediction based on BASS model: A case study of Yunnan Province

Jiang

Yin

et al. 2021

E3S Web Conf.

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In order to forecast the number of electric vehicles in Yunnan Province, based on BASS model, this paper uses extensive analogy method to explore the acquisition of m, p and q model parameters, forecasts the purchasing power of the market, and estimates the innovation coefficient and imitation coefficient from three aspects of high potential scenario, base potential scenario and low potential scenario. The number of new energy electric vehicles in Yunnan Province in three scenarios from 2022 to 2035 is predicted. The forecast results show that under the condition of high potential development, the number of new energy vehicles in Yunnan Province will reach 409,600 in 2022; in the case of benchmark potential development, the number of new energy vehicles will reach 291,400 in 2022; in the case of low potential development, the number of new energy vehicles in Yunnan Province will reach 155,400 in 2022.

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